Evidence map›Paper›PMID 36818016›Full record

ArticleMedComm2023

The combined effect of metformin and mirabegron on diet-induced obesity.

Xin-Yuan Zhao, Ying Liu, Xuan Zhang, Ben-Chi Zhao, George Burley, Zhi-Can Yang, Yi Luo, An-Qi Li, Ruo-Xin Zhang, Zhi-Ying Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in MedComm, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. MTCH2 Suppresses Thermogenesis by Regulating Autophagy in Adipose Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 3 countries.

Xin-Yuan ZhaoLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
Ying LiuLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
Xuan ZhangObesity and Metabolic Disease Research Group Diabetes and Metabolism Division Garvan Institute of Medical Research Sydney New South Wales Australia.
Ben-Chi ZhaoLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
George BurleyObesity and Metabolic Disease Research Group Diabetes and Metabolism Division Garvan Institute of Medical Research Sydney New South Wales Australia.
Zhi-Can YangLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
Yi LuoLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
An-Qi LiLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
Ruo-Xin ZhangLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
Zhi-Ying LiuLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.
Yan-Chuan ShiObesity and Metabolic Disease Research Group Diabetes and Metabolism Division Garvan Institute of Medical Research Sydney New South Wales Australia.
Qiao-Ping WangLaboratory of Metabolism and Aging School of Pharmaceutical Sciences (Shenzhen) Shenzhen Campus of Sun Yat-sen University Sun Yat-sen University Shenzhen China.ORCID https://orcid.org/0000-0003-2809-6457
Sun Yat-sen University · CNGarvan Institute of Medical Research · AUHsin Sheng College of Medical Care and Management · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-obesity medications act by suppressing energy intake (EI), promoting energy expenditure (EE), or both. Metformin (Met) and mirabegron (Mir) cause weight loss by targeting EI and EE, respectively. However, anti-obesity effects during concurrent use of both have yet to be explored. In this study, we investigated the anti-obesity effects, metabolic benefits, and underlying mechanisms of Met/Mir combination therapy in two clinically relevant contexts: the prevention model and the treatment model. In the prevention model, Met/Mir caused further 12% and 14% reductions in body weight (BW) gain induced by a high-fat diet compared to Met or Mir alone, respectively. In the treatment model, Met/Mir additively promoted 17% BW loss in diet-induced obese mice, which was 13% and 6% greater than Met and Mir alone, respectively. Additionally, Met/Mir improved glucose tolerance and insulin sensitivity. These benefits of Met/Mir were associated with increased EE, activated brown adipose tissue thermogenesis, and white adipose tissue browning. Significantly, Met/Mir did not cause cardiovascular dysfunction in either model. Together, the combination of Met and Mir could be a promising approach for the prevention and treatment of obesity by targeting both EI and EE simultaneously.

Indexed as

combination therapy for obesityenergy expenditurefood intakemetforminthermogenesisβ3‐adrenergic receptor agonist

Identifiers

PMID36818016
PMCPMC9928947
OpenAlexW4320922581

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.